This senior management role is pivotal in driving strategic initiatives and business transformations within the healthcare analytics domain. You'll be instrumental in creating value-driven solutions by leveraging deep industry expertise and a robust network of AI and data professionals. This position offers a unique chance to work with cutting-edge AI, ML, and statistical tools to translate data into actionable insights that enhance client outcomes and high performance.

Key responsibilities include providing strategic advisory services, conducting thorough market research, and developing data-informed recommendations to boost business performance. You will collaborate with a global team of experts in Data & AI, shaping and recommending innovative solutions. Embrace responsible business practices in client servicing and professional conduct. The role also involves leading proposals, business development, and client discussions, while developing new industry viewpoints and reusable assets. Foster collaboration across Data Engineering, technology, and business stakeholders to identify data-driven solutions. Guide teams on analytical and AI methodologies, manage client relationships, and drive thought leadership within your specialization.

We are seeking a seasoned professional with 11-15 years of relevant experience. Essential technical skills include R, Python, SQL, Spark, Tableau, and Power BI. A Bachelor's or Master's degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or a related quantitative field is required. Strong analytical, problem-solving, and communication skills are crucial. Experience in handling complex datasets and deploying statistical models or machine learning algorithms is expected. The ability to solve intricate business challenges and build strong client relationships, demonstrating thought leadership, is highly valued. An aptitude for working in dynamic, fast-paced environments and a proven track record in cross-selling/up-selling are also key requirements.